* Initial model
* Fix upsampling
* Add special cls token id and test
* Formatting
* Test and fist FunnelTokenizerFast
* Common tests
* Fix the check_repo script and document Funnel
* Doc fixes
* Add all models
* Write doc
* Fix test
* Initial model
* Fix upsampling
* Add special cls token id and test
* Formatting
* Test and fist FunnelTokenizerFast
* Common tests
* Fix the check_repo script and document Funnel
* Doc fixes
* Add all models
* Write doc
* Fix test
* Fix copyright
* Forgot some layers can be repeated
* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/transformers/modeling_funnel.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Address review comments
* Update src/transformers/modeling_funnel.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Address review comments
* Update src/transformers/modeling_funnel.py
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
* Slow integration test
* Make small integration test
* Formatting
* Add checkpoint and separate classification head
* Formatting
* Expand list, fix link and add in pretrained models
* Styling
* Add the model in all summaries
* Typo fixes
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
Since `generate()` does:
```
num_beams = num_beams if num_beams is not None else self.config.num_beams
```
This test fails if `model.config.num_beams > 1` (which is the case in the model I'm porting).
This fix makes the test setup unambiguous by passing an explicit `num_beams=1` to `generate()`.
Thanks.
* add datacollator and dataset for next sentence prediction task
* bug fix (numbers of special tokens & truncate sequences)
* bug fix (+ dict inputs support for data collator)
* add padding for nsp data collator; renamed cached files to avoid conflict.
* add test for nsp data collator
* Style
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
* Improved tokenization with sacremoses
* The TransfoXLTokenizer is now using sacremoses for tokenization
* Added tokenization of comma-separated and floating point numbers.
* Removed prepare_for_tokenization() from tokenization_transfo_xl.py because punctuation is handled by sacremoses
* Added corresponding tests
* Removed test comapring TransfoXLTokenizer and TransfoXLTokenizerFast
* Added deprecation warning to TransfoXLTokenizerFast
* isort change
Co-authored-by: Teven <teven.lescao@gmail.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* AdaFactor optimizer ported from fairseq. Tested for T5 finetuning and MLM -- reduced memory consumption compared to ADAM.
* update PR fixes, add basic test
* bug -- incorrect params in test
* bugfix -- import Adafactor into test
* bugfix -- removed accidental T5 include
* resetting T5 to master
* bugfix -- include Adafactor in __init__
* longer loop for adafactor test
* remove double error class declare
* lint
* black
* isort
* Update src/transformers/optimization.py
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
* single docstring
* Cleanup docstring
Co-authored-by: Nikolai Y <nikolai.yakovenko@point72.com>
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
* add tf graph compile tests
* fix conflict
* remove more tf transpose statements
* fix conflicts
* fix comment typos
* move function to class function
* fix black
* fix black
* make style
* Feed forward chunking for Distilbert & Albert
* Added ff chunking for many other models
* Change model signature
* Added chunking for XLM
* Cleaned up by removing some variables.
* remove test_chunking flag
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>
